Gesture recognition using Kinect to detect unsafe behaviors performed by drivers
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| Autor: | |
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| Formato: | artículo original |
| Fecha de Publicación: | 2020 |
| Descripción: | Vehicle drivers’ unsafe behaviors, like using a cellular phone while driving, is one of the leadingcauses of traffic accidents worldwide. This unsafe practice is hard to regulate and control.However, it is possible with the use of an automated gesture detection system that indicates adangerous behavior. The use of cameras with 3D depth sensors can aid in analyzing objectsand people in real time with high precision, identifying features and figures. These sensors usea technology referred to as “point cloud”, which emits an array of laser lights and measures thetime of return (fly time) back to the sensor, determining the depth of each one of these points.This technology permitted the development of a gesture recognition application that is capableof automatically detecting the action that indicates that a driver is using a cellular phone whiledriving. An initial functional simulation was developed using background subtraction, featureanalysis, and histogram analysis algorithms using the program V-Rep, which can detect thegesture that would indicate this behavior. Furthermore, a prototype was implemented using realimages taken with the Kinect that were processed using Octave using the same algorithms usedfor the simulation, thus supporting the effectiveness of the application. |
| País: | RepositorioTEC |
| Institución: | Instituto Tecnológico de Costa Rica |
| Repositorio: | RepositorioTEC |
| Lenguaje: | Español |
| OAI Identifier: | oai:repositoriotec.tec.ac.cr:2238/13079 |
| Acceso en línea: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5491 http://hdl.handle.net/2238/13079 |
| Palabra clave: | Point Cloud Depth sensor Background Subtraction Gesture Recognition Image Processing Kinect “Point Cloud” Sensor de profundidad Substracción de fondo Reconocimiento gestual Procesamiento de imágenes |